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PayPal
Senior Product Manager - AI Personalization
atĀ PayPal
8 days ago | 51 views | 1 applications

Senior Product Manager - AI Personalization

Full-time
San Jose

About the company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visitā€Æhttps://www.paypal.com ,ā€Æ https://about.pypl.comā€Æand ā€Æhttps://investor.pypl.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].

Job Summary

In your day-to-day, you will

šŸ“Define and Build the next generation of AI-driven experiences at PayPal working across our data platform teams and operating as a key driver of our AI product strategy šŸ“Drive product and platform vision and create capabilities that add value to both merchants and consumers. Identify new unmet opportunities and gaps in the portfolio by analyzing the market and ecosystem. šŸ“Collaborating cross-functionally in defining the personalization opportunities across the consumer journey, and define best in class personalization experiences for PayPal consumers globally. šŸ“Evangelize, Communicate, and Influence, by driving alignment on vision, roadmap, investment needs, risks, and opportunities with large cross-functional teams, and leaders, including C-level executives. šŸ“Develop experiments playbook so our models and teams are constantly learning and developing and evangelizing a strong point of view on how to improve KPIs. šŸ“Execute with excellence in a cross-functional setting, building strong relationships with key stakeholders (data engineers, software engineers, product analytics, merchant tech and other business teams). šŸ“Run lean experiments to learn and develop a strong point of view on how to improve KPIs šŸ“Define and develop closely with Data Science and Platform leadership the core data products needed to power personalized experiences. šŸ“Define and measure key AI Platform performance indicators to evaluate and understand product value, performance and compute costs. šŸ“Identifying new opportunities based on research, industry trends, and best practices, driving innovation and platform improvements. šŸ“Deliver results. Own business outcomes and be responsible for hitting experience and revenue targets.

What you need to bring

šŸ“2+ years of experience in AI Product Development šŸ“4+ years of experience in Product Management, with demonstrated success in launching and scaling multiple 0-1 products šŸ“Technical and business acumen with Identity, Data Normalization, Data usage limitation, and AI-driven personalization product background are critical along with demonstrated experience in defining and driving transformation initiatives. šŸ“Experience inspiring and mobilizing all levels of the organization with your product vision, data-centric thinking, and customer/developer passion. šŸ“Being comfortable in navigating ambiguity and establishing an iterative roadmap and experimentation culture. šŸ“Defining the product and customer experience with high-quality business requirements and user stories while managing the scope of each product release and refining the technology architecture and scalability for the use case. šŸ“Helping the teams move forward swiftly with rigor, speed, and transparency in decision-making. Removing roadblocks, setting a consolidated vision, and collaborating with excellence across all functions is critical.

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